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Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

RAG is the strongest overall pick here because it has a 93/100 readiness score and fits RAG and knowledge.

Strongest overall

RAG

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

RAG

Best first install candidate based on install readiness and adoption.

Freshest repo

RAG

Most recent maintenance signal among this shortlist.

SignalRAG

This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

Quality
82/100
Strong
Decision verdict
93/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption659 stars
0 installs
FreshnessJun 15, 2026
Use-case fit
RAG and knowledgeCoding agentsWorkflow automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, RAG, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add NVIDIA-AI-Blueprints/rag